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How Data & AI Can Help Make Utility Line Inspections Safer

Electricity is fundamental to our society. As climate change becomes more severe and demand for clean energy increases, the future is the electrification of everything and along with it, the need for reliable energy. The U.S. infrastructure spans over a vast 200,000 miles and inspecting all of it is a time-consuming and high-risk process that often calls for hanging from helicopters or climbing tall towers. It is inefficient, costly, and dangerous.

The 7 Ts of product-Led Transformation

Transformation is a word that isn’t commonly favored by the product community. Why? Because transformation programs rarely allow product teams to autonomously decide how they will achieve their mission. Transformation programs also incur significant costs. According to CIO Magazine, global spending on digital transformation technologies and services was US$1.3 trillion in 2020, of which 70% of that spend is wasted. That is approximately $900 billion.

Unified data and ML: 5 ways to use BigQuery and Vertex AI together

Are you storing your data in BigQuery and interested in using that data to train and deploy models? Or maybe you’re already building ML workflows in Vertex AI, but looking to do more complex analysis of your model’s predictions? In this post, we’ll show you five integrations between Vertex AI and BigQuery, so you can store and ingest your data; build, train and deploy your ML models; and manage models at scale with built-in MLOps, all within one platform. Let’s get started!

How Wayfair says yes with BigQuery-without breaking the bank

At Wayfair, we have several unique challenges relating to the scale of our product catalog, our global delivery network, and our position in a multi-sided marketplace that supports both our customers and suppliers. To give you a sense of our scale we have a team of more than 3,000 engineers with tens of millions of customers. We supply more than 20 Million items using more than 16,000 supplier partners.

8 Great Data Predictions for 2022

Heading into a new year filled with myriad crosscurrents, this much is certain: more organizations will find smarter ways to use data as they realize the benefits of digitally transforming their operations. We’re seeing this trend toward data-driven decision making already play out in different industries around the world as companies modernize their infrastructures.

Unleashing the power of Java UDFs with Snowflake

As part of the Snowpark developer experience, customers can execute Java user-defined functions (UDFs) packaged in a JVM right inside Snowflake’s powerful processing engine for better performance, scalability, and concurrency. These Java UDFs can be used for data preparation and enrichment pipelines, implementing custom business logic, and even to run machine learning model inference. In this session, Felipe Hoffa demonstrates how simple it is to get started with Java UDFs for your use case.

Gartner Recognizes Cloudera in Critical Capabilities for Cloud Database Management Systems for Operational Use Cases

Cloudera has been recognized as a Visionary in 2021 Gartner® Magic Quadrant™ for Cloud Database Management Systems (DBMS) and for the first time, evaluated CDP Operational Database (COD) against the 12 critical capabilities for Operational Databases.

Supply Chains: Staying Ahead of the Unpredictable With an Analytics Data Pipeline

2021 demonstrated the precariousness of our global supply chains and the potential cost to business. The Suez Canal blockage held up around $9.6bn of trade each day, while the true impact of the pandemic won’t be known for years. Many of us have also felt it during our weekly shopping and the disappointment when one of our favorite items is replaced by cardboard cutouts instead of the foodstuff themselves.